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Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Electromagnetic Generator

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Sentimental Analysis and Deep Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1408))

Abstract

The main purpose of this research is to harvest energy by free/impact motion generator (FIMG) with human body motion by using micro-electromagnetic vibration. To have the best efficiency and energy harvesting, harvesters are used to create energy using insole sensors, Micro-electromagnetic generators and servomotors can be used to obtain the output and it should be tested with the actual human body movements. Understanding the biomechanics of a human body and the location of harvesting the energy can be determined by studying the gait of a human body. It also has an effective performance output with low frequency—large amplitude vibrations. Energy harvested from the movement of human body is converted to electrical energy by using micro-electromagnetic sensor. The body location this sensor will be fitted for harvesting the energy are the angle, upper leg, wrist. The energy that is harvested by doing daily activity is as people intentionally do movement in the body either by walking, fast walking, and jogging.

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Acknowledgments

I would like to express my gratitude to the supervisor, Dr. Mohamed Khan Afthab Ahamed Khan, and UCSI University, for the continuous support, guidance, and comments throughout the time span of this project.

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Authors and Affiliations

  1. UCSI University, No. 1 Jalan Menara Gading, UCSI Heights, 56000, Cheras, Malaysia

    Athern Aloysius, M. K. A. Ahamed Khan, Wei Hong Lim, Manicam Ramaswamy, Chun Kit Ang & Kalaiselvi Aramugam

  2. Thiagarajar College of Engineering, Madurai, India

    Sridevi &  Deisy

  3. UMR CNRS 6285 LabSTICC, ENIB, 29238, Brest, France

    Abdul Qayyum

Authors
  1. Athern Aloysius
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  2. M. K. A. Ahamed Khan
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  3. Wei Hong Lim
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  4. Manicam Ramaswamy
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  5. Sridevi
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  6. Deisy
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  7. Abdul Qayyum
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  8. Chun Kit Ang
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  9. Kalaiselvi Aramugam
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Corresponding author

Correspondence to M. K. A. Ahamed Khan .

Editor information

Editors and Affiliations

  1. Institute of Engineering, Tribhuvan University, Pulchowk Campus, Lalitpur, Nepal

    Subarna Shakya

  2. Intelligent Systems Research Centre, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Songkla University, Songkhla, Thailand

    Sinchai Kamolphiwong

  4. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Aloysius, A. et al. (2022). Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Electromagnetic Generator. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_18

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